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Data Science with 1+ years in AI Data Annotation & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Science practitioner with hands-on experience in AI Data Annotation, NLP dialogue tagging, machine learning workflows, and dashboard development. Skilled in sentiment, intent & emotion-based audio annotation for human-bot speech training and dataset optimization.
College of Engineering Trikaripur (CETKR), Cheemeni
B.Tech · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Zidio Development
Data Science Intern
April 1, 2025 – August 1, 2025
India
Freelance
AI Data Annotation Specialist
January 1, 2025 – Present
India
CNN Medicinal Plant Classifier
June 1, 2026 – Present
TensorFlow, 85% accuracy
Credit Card Fraud Detection
June 1, 2026 – Present
ML classification model
Stock Price Forecasting Dashboard
June 1, 2026 – Present
Power BI + Python
Valorant Gameplay Analytics
June 1, 2026 – Present
Pandas + Plotly
Data Science Internship
Zidio Development
June 1, 2026 – Present
Python + Machine Learning Training
Unknown
June 1, 2026 – Present
Full Stack Web Development Training
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (fraud detection, gameplay analytics, plant classification, stock forecasting) and experience in both data science internship and freelance data annotation suggest an adaptable individual with broad interests within the data science domain. The listed skills (Python, SQL, Pandas, NumPy, Power BI, Tableau, Streamlit, Excel, Git) align well with typical data science team requirements, indicating a good operational fit.
Soft Skills & Operational Fit
The candidate highlights problem-solving, fast learning, analytical mindset, detail-focused, and adaptability as strengths. These traits are beneficial for a Data Science role, particularly in an evolving field requiring continuous learning and meticulous data handling.